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#' Indicates successful infections leading to disease or lesions development
#'
#' [successful_infections()] Determines successful infections. That is,
#' infections that have developed into visible lesions
#'
#' @param spore_targets A data.table with variables x, y and spores_per_packet
#' (formally named spore_packet)
#' @param paddock A data.table containing all parameters for each 1 x 1
#' coordinate in the paddock
#' @param spore_interception_parameter A function of the maximum growing points
#' limit (usually 15000 for lupin) and the maximum new growing points limit
#' i.e. - 0.00006 * (max_gp_lim/max_new_gp)
#' @param max_interception_probability Probability of interception of conidia
#' @return a vector of spores_per_packet each referring to a row in
#' spore_targets
#' @keywords internal
#' @noRd
successful_infections <- function(spore_targets,
paddock,
spore_interception_parameter,
max_interception_probability) {
x <-
y <-
new_gp <-
summary_unit_width <- summary_unit_length <- new_gp <- NULL
if ((is.data.table(spore_targets) |
is.data.frame(spore_targets)) == FALSE) {
stop("argument 'spore_targets' should be a data.table input not ",
class(spore_targets))
}
suc_inf <-
apply(spore_targets, 1, function(sp_tar) {
address <- c(sp_tar["x"],
sp_tar["y"])
spores_in_packet <- sp_tar["spores_per_packet"]
susceptible_growing_points <-
paddock[x == sp_tar["x"] &
y == sp_tar["y"], new_gp]
spores_in_packet <-
random_integer_from_real(
spores_in_packet *
interception_probability(
5 * susceptible_growing_points,
spore_interception_parameter
) /
max_interception_probability
)
return(spores_in_packet)
})
return(unlist(suc_inf))
}
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